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Avoiding Discrimination through Causal Reasoning

Neural Information Processing Systems (NeurIPS), 2017

8 June 2017

Niki Kilbertus

Mateo Rojas-Carulla

Giambattista Parascandolo

Papers citing "Avoiding Discrimination through Causal Reasoning"

50 / 320 papers shown

Title
Optimal Fairness under Local Differential Privacy Hrad Ghoukasian S. Asoodeh 142 0 0 20 Nov 2025
Causal Graph Neural Networks for Healthcare Munib Mesinovic Max Buhlan Tingting Zhu OOD CML AI4CE 341 0 0 04 Nov 2025
Training Feature Attribution for Vision Models Aziz Bacha Thomas George TDI FAtt 288 1 0 10 Oct 2025
Partial Identification Approach to Counterfactual Fairness Assessment Saeyoung Rho Junzhe Zhang Elias Bareinboim FaML 177 0 0 30 Sep 2025
CausalPre: Scalable and Effective Data Pre-processing for Causal Fairness Ying Zheng Yangfan Jiang Kian-Lee Tan 88 0 0 18 Sep 2025
Algorithmic Fairness amid Social Determinants: Reflection, Characterization, and Approach Zeyu Tang Alex John London Atoosa Kasirzadeh Sanmi Koyejo Peter Spirtes Kun Zhang FaML 172 0 0 10 Aug 2025
Controllable Feature Whitening for Hyperparameter-Free Bias Mitigation Yooshin Cho Hanbyel Cho Janghyeon Lee H. Hong Jaesung Ahn Junmo Kim 120 0 0 27 Jul 2025
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation Emre Kavak Tom Nuno Wolf Christian Wachinger CML 163 0 0 13 Jun 2025
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach Khadija Zanna Akane Sano 134 0 0 13 Jun 2025
Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 325 0 0 05 Jun 2025
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Hojun Son Asma Almutairi Arpan Kusari 329 0 0 24 May 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness Juliett Suárez Ferreira Marija Slavkovik Jorge Casillas FaML 348 0 0 03 Apr 2025
Causal Feature Learning in the Social Sciences Jingzhou Huang Jiuyao Lu Alexander Williams Tolbert CML 222 1 0 17 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 1.2K 5 0 28 Feb 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal HypothesesConference on Uncertainty in Artificial Intelligence (UAI), 2025 Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 350 0 0 14 Feb 2025
Fairness Amidst Non-IID Graph Data: A Literature ReviewThe AI Magazine (AI Mag.), 2022 Wenbin Zhang Shimei Pan Shuigeng Zhou T. Walsh FaML OOD 359 40 0 28 Jan 2025
Lookahead Counterfactual Fairness Zhiqun Zuo Tian Xie Xuwei Tan Xueru Zhang Mohammad Mahdi Khalili FaML 413 0 0 02 Dec 2024
Debiasing Alternative Data for Credit Underwriting Using Causal Inference Chris Lam CML 182 1 0 29 Oct 2024
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare Arno Blaas Adam Goliñski Andrew C. Miller Luca Zappella J. Jacobsen Christina Heinze-Deml OOD 191 0 0 25 Oct 2024
Using Protected Attributes to Consider Fairness in Multi-Agent Systems Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black FaML 168 0 0 16 Oct 2024
DiffusionCounterfactuals: Inferring High-dimensional Counterfactuals with Guidance of Causal Representations Jiageng Zhu Hanchen Xie Jiazhi Li Wael Abd-Almageed DiffM 198 1 0 30 Jul 2024
Formalising Anti-Discrimination Law in Automated Decision Systems Holli Sargeant Måns Magnusson FaML 462 3 0 29 Jun 2024
Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 184 0 0 27 Jun 2024
Causal Inference with Latent Variables: Recent Advances and Future Prospectives Yaochen Zhu Yinhan He Jing Ma Mengxuan Hu Sheng Li Jundong Li CML 279 7 0 20 Jun 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Y. Liu Lu Cheng FaML 453 5 0 10 Jun 2024
Causal Effect Identification in LiNGAM Models with Latent Confounders D. Tramontano Yaroslav Kivva Saber Salehkaleybar Mathias Drton Negar Kiyavash CML 285 6 0 04 Jun 2024
Fairness-Accuracy Trade-Offs: A Causal Perspective Drago Plečko Elias Bareinboim 163 11 0 24 May 2024
Local Causal Discovery for Structural Evidence of Direct DiscriminationAAAI Conference on Artificial Intelligence (AAAI), 2024 Jacqueline R. M. A. Maasch Kyra Gan Violet Chen Agni Orfanoudaki Nil-Jana Akpinar Fei Wang 262 2 0 23 May 2024
Challenging the Human-in-the-loop in Algorithmic Decision-making Sebastian Tschiatschek Eugenia Stamboliev Timothée Schmude Mark Coeckelbergh Laura M. Koesten 274 2 0 17 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 211 8 0 12 May 2024
Utility-Fairness Trade-Offs and How to Find Them Sepehr Dehdashtian Bashir Sadeghi Vishnu Boddeti 187 18 0 15 Apr 2024
Auditing the Use of Language Models to Guide Hiring Decisions Johann D. Gaebler Sharad Goel Aziz Huq Prasanna Tambe MLAU 223 20 0 03 Apr 2024
Addressing Both Statistical and Causal Gender Fairness in NLP Models Hannah Chen Yangfeng Ji David Evans 275 4 0 30 Mar 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 320 21 0 26 Mar 2024
Fair Multivariate Adaptive Regression Splines for Ensuring Equity and Transparency Parian Haghighat Denisa Gándara Lulu Kang Hadis Anahideh 124 0 0 23 Feb 2024
A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems Jessy Xinyi Han Andrew Miller S. C. Watkins Christopher Winship Fotini Christia Devavrat Shah 121 1 0 22 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 264 4 0 14 Feb 2024
Causal Feature Selection for Responsible Machine Learning Raha Moraffah Paras Sheth Saketh Vishnubhatla Huan Liu CML 179 3 0 05 Feb 2024
A New Paradigm for Counterfactual Reasoning in Fairness and RecourseInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Lucius E.J. Bynum Joshua R. Loftus Julia Stoyanovich 162 6 0 25 Jan 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach Aoqi Zuo Yiqing Li Susan Wei Biwei Huang FaML 276 8 0 19 Jan 2024
SoK: Taming the Triangle -- On the Interplays between Fairness, Interpretability and Privacy in Machine Learning Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 263 7 0 22 Dec 2023
GroupMixNorm Layer for Learning Fair Models Anubha Pandey Aditi Rai Maneet Singh Deepak L. Bhatt Tanmoy Bhowmik 214 0 0 19 Dec 2023
TaCo: Targeted Concept Removal in Output Embeddings for NLP via Information Theory and Explainability Fanny Jourdan Louis Bethune Agustin Picard Laurent Risser Nicholas M. Asher 182 0 0 11 Dec 2023
Evaluating and Mitigating Discrimination in Language Model Decisions Alex Tamkin Amanda Askell Liane Lovitt Esin Durmus Nicholas Joseph Shauna Kravec Karina Nguyen Jared Kaplan Deep Ganguli 255 95 0 06 Dec 2023
Causal Fairness under Unobserved Confounding: A Neural Sensitivity FrameworkInternational Conference on Learning Representations (ICLR), 2023 Maresa Schröder Dennis Frauen Stefan Feuerriegel CML 258 11 0 30 Nov 2023
Enhancing the Performance of Neural Networks Through Causal Discovery and Integration of Domain Knowledge Xiaoge Zhang Xiao-Lin Wang Fenglei Fan Yiu-ming Cheung Indranil Bose 328 2 0 29 Nov 2023
Challenges of Large Language Models for Mental Health Counseling N. C. Chung George C. Dyer L. Brocki LM&MA AI4MH 238 25 0 23 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating ComponentsInternational Conference on Learning Representations (ICLR), 2023 Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 314 3 0 05 Nov 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness A. Ehyaei G. Farnadi Samira Samadi 312 4 0 30 Oct 2023
Causality-Inspired Fair Representation Learning for Multimodal Recommendation Weixin Chen Li Chen Yongxin Ni Yuhan Zhao 217 5 0 26 Oct 2023